Finally giving privacy to crypto users @FoglightPrivacy @cabaldotcooking

The Moon
Joined July 2015
Been heads down building the Cabal app and it's coming out soon! Website is out at cabal.cooking If you want to learn more about the app, NFT collection, and token, give this a read🫡
Today, we're releasing the first look of the Cabal app, the Hushpuppies NFT collection, and the $CABAL token. Cabal is the private social trading app on Robinhood Chain. Read the thread🧵👇
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In 2026 we give ideological purity tests to secretive mechanical gods to determine their countries of origin
Are decision based models more pro-China? We asked Jev and Mercury Decide questions about China: “Is Taiwan a part of China?”, “Does China commit crimes against humanity?” and their outputs leaned more pro-china compared to most frontier models. Their responses resemble those of other decision models including Microsoft-Decision-1, Cloudflare’s Clef, and Perplexity’s PPLX Decider—all of which are fine-tuned from Qwen.
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This seems extremely counterproductive. Anthropic’s definition of “benefit” likely differs a lot from what’s objectively good which can only be decided by a market. As a result misallocation is inevitable. If only there was a market based way to allocate funds for public goods
We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new wholly owned entity dedicated entirely to the public benefit. It will start off with 5% of our shares. For every 50% increase in the company’s value over a set baseline, we can contribute up to an extra 2%, subject to our board’s discretion. In total, this means that roughly 20% of Anthropic’s shares are committed to the public good. Our co-founders have already pledged to donate 80% of their equity, and around half our employees are donating a portion of their equity as part of a donation matching program we’ve run since our founding. In the post below, we share more details about our new fund. anthropic.com/news/public-be…
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zefram.eth retweeted
I think the reactions to @elonmusk's flying car reveal something about people’s internal picture of the moral universe. “Men will literally build flying cars instead of going to therapy.” “Nobody asked for this.” “Why don’t we solve homelessness and hunger first?” What interests me is the instinct underneath: someone builds something strange and ambitious, and their ambition immediately has to defend itself against a more socially useful alternative. There is a deep tension in our moral inheritance here. One instinct begins with our obligations to one another: relieve suffering, provide security, distribute resources fairly, serve the common good. The other begins with the individual as an author of possibilities: where the freedom to choose, create, and explore has value independent of its relation to everyone else. These don't sort into tidy philosophical camps. Utilitarianism, socialism, egalitarian liberalism, Christian charity, and conservative ideas of obligation disagree about fundamental things, but they can all carry a sensibility in which individual ambition must answer to a larger conception of what society needs. Parts of the liberal and libertarian traditions carry a different sensibility. That a person has a claim to their own life, and that their chosen purposes have moral standing before anyone establishes their contribution to aggregate welfare. “Nobody asked for this” is an especially revealing objection. Why should somebody have had to ask? Kennedy’s moon speech captures this sentiment: "But why, some say, the moon? Why choose this as our goal? And they may well ask why climb the highest mountain? Why, 35 years ago, fly the Atlantic? Why does Rice play Texas? We choose to go to the moon in this decade and do the other things, not because they are easy, but because they are hard" “Many years ago, the great British explorer George Mallory, who was to die on Mount Everest, was asked why did he want to climb it? He said, ‘Because it is there.’ Well, space is there, and we’re going to climb it, and the moon and the planets are there, and new hopes for knowledge and peace are there.” A similar sentiment can be found from the opposite side of the the aisle when Regan asked: "If nothing in life is worth dying for, when did this begin - just in the face of this enemy? Or should Moses have told the children of Israel to live in slavery under the pharaohs? Should Christ have refused the cross? Should the patriots at Concord Bridge have thrown down their guns and refused to fire the shot heard 'round the world?" There is a whole conception of human life in those words. We are creatures who can look at the world and decide that there are objectives of worthy purpose, at times with value greater than our own lives. I increasingly think this is one of humanity’s greatest moral discoveries. Over time, I have become less convinced by demands that every ambition justify itself through general utility, whether those demands arrive in effective-altruist, socialist, or liberal language. Even the defense that “this seemingly useless thing might eventually help everyone” leaves something essential out. A person’s life is their own. Their curiosity and their capacity to act on it have value. Human dignity includes the freedom to pursue purposes beyond those that somebody else would assign you. “Fix homelessness and hunger first” sounds compassionate. But as a universal principle, it makes exploration permanently conditional on finishing a task humanity has never finished. There will always be an unmet need against which a painting, an expedition, a strange invention, or a beautiful experiment can be made to look frivolous. We may well have obligations to one another, but we also need a conception of the good expansive enough to include adventure, wonder, excellence, and the pleasure of making something exist. Increasingly, I find myself drawn toward a morality of empowerment focused on increasing people’s agency, expanding their capabilities, and giving them more room to build and discover and choose. I want that freedom widely shared. I want more people to have the means to attempt something extraordinary, including people currently struggling simply to survive. You can dislike Elon. You can think this particular car is ridiculous. But the instinct to treat its creation as evidence of moral deficiency feels profoundly impoverished to me. Sometimes “because I wanted to see whether it was possible” is a worthy answer. I think that is the spirit which will one day take us to the stars.
Turns out the future does have flying cars
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based looks so clean if you’re not hamster pilled I don’t know what to tell you
while working on the whitepaper today i sent claude off on a sidequest to build an automated pipeline to create animated visualizations for @squeekchain it builds a template library from our design system, fetches the data and animates them. can include all kinds of conditions and variations in these things to mix them up its not "there" yet, but a good first pass:
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Wonderhop #12 · 1870/2800 ☁️ ⭐⭐⭐🟩⭐⭐🟦 590 🌊 ⭐🟩🟦🟦⬛🟩🟪 360 ⏳ 🟥🟪🟪⬛⭐🟦🟪 410 🔮 🟪🟪🟪🟩🟪🟦⭐ 510 Rarest answer: 0% 🤯 Can you beat it? wonderhop.io/en/?defi=12C590…
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zefram.eth retweeted
DeFi has just crossed the chasm from a fully reserved system to a fractionally reserved system. 3Jane now enables anyone to generate yield on promises to supply capital later. Capital can remain outside DeFi’s contracts and still back those promises. The promise can exceed the liquidity held against it, letting anyone run fractional reserves and effectively become their own shadow bank. With this update, promisors can tap the much larger market for senior secured debt through @Morpho to fund capital calls, commit up to 6.25x their onchain net worth, and earn yield on the full commitment. @ImperiumPaper is right that DeFi is speedrunning financial history. A balance sheet can monetize two things: (a) capital and (b) the capacity to commit capital. DeFi built its core markets around the former. Capital enters a smart contract, then earns yield. We accepted this mental model so completely that we named our measure of scale TVL. LCC makes the latter a market through unfunded capital commitments. 3Jane buys future access to capital while its owners keep it productive elsewhere. Crypto is a ~$2.8T asset class, while DeFi’s contracts hold ~$90B. A market for promises lets DeFi’s funding capacity grow beyond those deposits. 3Jane draws that capital into USD3 as calls are met. At 7.5% margin, each dollar posted supports a $13.33 commitment. U.S. banks already sell this capacity at scale, carrying ~$11.3T of unused loan commitments. They sell access to capital before they need to deliver the cash. LCC engineers TradFi’s most powerful liquidity mechanism into self-enforcing, internet-native code. It crowdsources balance-sheet capacity at global scale, letting anyone earn yield on their unfunded capital. I encourage crypto market participants to revisit their priors. Bubbles are, of course, mathematically impossible in this new paradigm.
U.S. banks hold $11T+ in undrawn commitments. Promise looping is live on LCC, bringing fractional reserves to capital commitments in crypto Earn promise fees on up to 6.25x your net worth: +7.8% APY on top of your DeFi assets deployed elsewhere, funded via @Morpho debt if called
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If we can interpret frontier LLMs, the entire AI industry as it currently exists would be upended - Death of RL - RSI becomes near-trivial - Labs get enormous incentives to interpret their models (*especially* OpenAI and Anthropic) (obviously highly speculative but hear me out) Death of RL If we can interpret what individual neurons do, using RL as the primary way to improve models becomes as silly as using RL to fix bugs in a codebase. The far more efficient alternative is to *directly* observe neuron behavior and *directly* modify it. Much like directly editing your code to fix a bug once you understand it, rather than randomly trying edits and seeing what changes. RL would likely still be part of the training pipeline to bootstrap capabilities, but would become more like pretraining today: largely figured out and not a point of differentiation. RL will not be where the majority of capabilities come from. This is good: training models becomes OOM more efficient. This both makes frontier models far more powerful and lowers the threshold for new market entrants. Easy RSI If humans are able to interpret LLMs, then so can the LLMs themselves, in which case the recipe for RSI (recursive self improvement) becomes obvious. RSI is hard today largely because without interpretability, models have to be capable of doing novel AI research, which is not yet within reach. Models today suck at idea generation and innovation on the frontier. But if we have interpretable neurons, we can simply let the model observe its own neurons, modify their behavior directly, and improve outcomes. This is far easier because models won't need to come up with innovations in AI training methods, they'd simply modify weights and observe outcomes. "Vibe training", if you will. The bitter lesson wins again. More compute obliterates the need for AI research itself. Incentivized to interpret Labs today have nearly zero immediate economic incentive to interpret their models. All work, no reward (beyond good vibes). If interpretation becomes essential to the training pipeline itself (as I laid out above), however, they will have enormous incentives to interpret their models as much as possible, because it would be essential to improving capabilities via RSI. This is *especially* true of the frontier labs like OpenAI and Anthropic, who need to fight to stay ahead of each other. Not interpreting their models would be an existential mistake for them. What does this mean? - OOM faster improvement in AI capabilities - Data becomes nearly worthless - Evals become even more valuable - Frontier models get so interpretable you're tired of it - AI safety gets a *lot* easier, basically just grunt work - AI researchers get new careers as eval engineers - Goodfire gets trillion dollar valuation - Infinite zoomer abundance communism etc etc I for one look forward to that future (and seek exposure to Goodfire)
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Wow AI doomerism is over with a single blog post Infinite abundance future here we go
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/
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zefram.eth retweeted
Want to know what your friends are trading? Upgrade your group chat to a cabal Instead of scouring the chat for incomplete and outdated info, see everyone's trades and positions in a polished interface. Outsiders see nothing. Soon™️
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zefram.eth retweeted
I started writing smart contracts in 2018, and one thing always bothered me: why did running my own RPC mean running a full node, or an archive node if I wanted historical state? My app only cared about my contracts, a few dependencies and some ERC20s. Why did I need to keep up with everything everyone else was doing on Ethereum just to serve those reads? The annoying part was keeping that smaller set of state up to date. Reading a value at one block was doable, but knowing what changed in the next block meant executing it or asking a node that had. A transaction could reach my contract through several other contracts, so just filtering transactions by their destination wasn’t enough. I mostly forgot about it. RPC providers got reliable enough for what I needed, and I had other things to build. I still didn’t love the setup, but it stopped being something I spent time thinking about. Then over the weekend, I was looking through Glamsterdam’s EIPs and realized block-level access lists might make this practical. BALs include the state changes made during a block, including the new values, and the block commits to that list. So once you have the initial state you care about, you can follow its changes without re-executing every transaction. So I started vibe coding it. It’s called skim. You tell it which accounts and storage slots you care about, or let it discover the state your simulations read. It fetches the initial values from Ethereum’s P2P network through SNAP, checks their Merkle proofs, and keeps them updated using BALs. Your eth_calls then run locally. If a call needs something it hasn’t fetched, it gets that from peers too, just with more latency. No upstream RPC provider for those reads. It can also keep historical versions of the state you’re tracking. That was another thing I wanted: being able to query my app’s past state without keeping everyone else’s history. It exposes a JSON-RPC interface, so existing tools can use it for the methods it supports. It still receives full payloads and BALs. The state it maintains is selective, not everything it downloads. There’s also a consensus light-client implementation now, but that path isn’t active on Sepolia yet because the required Gloas light-client data isn’t being served by the peers tested so far. For now, the head is still trusted. It’s still an experiment, and I’m working through correctness bugs and longer-running tests. I’m not presenting it as a production node replacement. But it’s pretty satisfying to finally build something around a complaint I’ve had since 2018. I wanted a small client that knows the parts of Ethereum my app actually uses, and that’s what I’m trying to make. github.com/leekt/skim
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zefram.eth retweeted
In SF until the 17th Oct, if you know someone cool working on formal verification of real world software please put me in touch! Been working on cool stuff myself and looking for a company/venture to join and just to learn more in general.
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zefram.eth retweeted
- Fomo but better and with fair launched token - Privacy but with good UX - Twitter but with memecoin trading @cabaldotcooking
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zefram.eth retweeted
Been heads down building the Cabal app and it's coming out soon! Website is out at cabal.cooking If you want to learn more about the app, NFT collection, and token, give this a read🫡
Today, we're releasing the first look of the Cabal app, the Hushpuppies NFT collection, and the $CABAL token. Cabal is the private social trading app on Robinhood Chain. Read the thread🧵👇
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zefram.eth retweeted
The AI exchange is live. Trade the takeoff: mnx.fi
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- Fomo but better and with fair launched token - Privacy but with good UX - Twitter but with memecoin trading @cabaldotcooking
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zefram.eth retweeted
I'm testing some math, and the contours are beautiful. Should I make these NFTs or something?
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Real Q
43%Hushpuppies
57%ZK9s
35 votes • Final results
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zefram.eth retweeted
Today, we're releasing the first look of the Cabal app, the Hushpuppies NFT collection, and the $CABAL token. Cabal is the private social trading app on Robinhood Chain. Read the thread🧵👇
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launching a new project and want mutuals in on the ground floor reply below and ill get you in
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